AI Development

RAG System Development

Work with a RAG application development company Canadian teams can collaborate with during Canadian working hours (ET/PT). We design ingestion, hybrid search, and guardrails so answers stay grounded and traceable.

Timeline6-12 weeks
Starting at$700

Benefits

What you get

RAG implementation services for PDFs, docs, tickets, and wikis

RAG development services: ingestion, indexing, and continuous tuning

Chunking + metadata strategy for high-quality retrieval

Vector database setup (Pinecone, Weaviate, Chroma, pgvector)

Hybrid search + reranking for stronger accuracy

Citations and highlighted excerpts in answers

Monitoring, evals, and regression testing over time

Features

What we deliver

Ingestion & Normalization

Parse PDFs, Word, Markdown, web pages, and knowledge tools. Keep structure where it matters (headings, sections, tables) and add clean metadata.

Chunking & Metadata Design

Right-sized chunks, smart overlap, and reliable metadata (product, version, date, owner) so retrieval stays accurate and maintainable.

Embeddings & Indexing

Use OpenAI, Cohere, or open-source embeddings depending on cost, privacy, and language needs. Support scheduled re-indexing and incremental updates.

Hybrid Search + Reranking

Combine semantic + keyword search and rerank results for stronger precision—especially for product names, error codes, and exact phrases.

Grounded Answers + Citations

Answers include citations and highlighted excerpts. If sources are weak, the system can ask follow-ups or respond with a safe fallback.

Quality, Safety & Observability

Evaluation sets, failure tracking, prompt/version control, and metrics (retrieval hit rate, citation quality) so performance improves over time.

Process

How we work

1
1-2 weeks

Discovery

Requirements gathering and planning

2
2-3 weeks

Design

UI/UX design and prototyping

3
6-12 weeks

Development

Iterative sprints with demos

4
1-2 weeks

Launch

Deployment and support

Tech Stack

Technologies we use

Core

OpenAI (GPT family)Anthropic ClaudeRAGLangChain / SDK-first

Tools

PineconeWeaviateChromapgvector (Postgres)

Services

Next.jsPython / FastAPINode.js

Use Cases

Who this is for

Internal Knowledge Assistant

Search SOPs, policies, onboarding docs, and runbooks with citations and permission-aware access.

Support Deflection (Grounded)

Answer product questions from your docs and help-center content, with escalation paths when confidence is low.

Document & Research Workflows

Summaries, Q&A, and comparisons across large document collections (legal, technical, compliance) with traceability.

Search Upgrade

Turn keyword search into “answer + sources” experiences while still supporting classic search results when needed.

FAQ

Frequently asked questions

No system can guarantee zero errors. RAG reduces hallucinations by grounding answers in retrieved sources, adding citations/excerpts, and using safe fallbacks when evidence is weak.

PDFs, Word/Google Docs, Markdown, websites, help centers, databases, and tools like Notion/Confluence/Drive. We choose connectors based on your stack and access controls.

We add evaluation queries, track bad answers, tune chunking/metadata, improve prompts, and introduce reranking or hybrid search where needed. It’s an iterative loop, not a one-time setup.

Yes. We can implement per-user access rules, tenant isolation, and source-level permissions. The final approach depends on your identity system and where documents live.

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Regional

Delivery considerations for your region

Compliance & Data (Canada)

For Canadian teams, we focus on practical privacy and security: least-privilege access, clear boundaries, and reviewable operational controls.

We can align implementation with SOC 2 / ISO-friendly practices (without claiming certification) and support documented data flows.

  • SOC 2 / ISO-friendly patterns (no certification claims)
  • Least-privilege access and secure session handling
  • Retention/deletion and export flows where required
  • PII-safe logging + access boundary documentation
  • NDA and vendor onboarding docs on request

Timezone & Collaboration (North America)

We work with Canadian teams with North America overlap and meeting windows that fit your schedule.

Delivery stays predictable via weekly milestones, async updates, and clearly documented decisions.

  • North America overlap and responsive communication
  • Async-first updates with written scope decisions
  • Weekly milestone demos and progress checkpoints
  • Clear escalation path for blockers
  • Tight change control with clear sign-offs

Engagement & Procurement (Canada)

We support procurement-friendly delivery: clear scope, change control, and billing cadence aligned to milestones when appropriate.

We can invoice in CAD for CAD-based engagements where required.

  • CAD-based engagements and invoicing options
  • Milestone-based billing and scope sign-offs
  • Time-and-materials for evolving requirements
  • Vendor onboarding pack on request
  • Optional paid discovery to de-risk delivery

Security & Quality (North America)

We keep quality visible: clean PRs, reviewable changes, and test coverage that matches the risk of each feature.

Performance budgets and release discipline help maintain stability as the product scales.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Structured release notes + rollback-safe deployments
  • Security checklist for auth, roles, and data flows
  • Observability hooks (logs + error tracking) ready for production
Ready to start?

Want help with RAG system development?

Share your sources and access rules—we’ll outline a production-ready RAG plan with milestones, evaluation criteria, and CAD-based delivery.

Reply within 2 hours. No-pressure consultation.

    RAG Development Company Canada | Softment | Softment